# Circulating Tumor Cells in Uveal Melanoma: Multi-Marker Detection and Association With Disease State

**Authors:** Daniel P. de Bruyn, Fabiana Lucia Bassil, Mike Wu, Aaron B. Beasley, Jolanda Vaarwater, Mai N. Van, Jaco Kraan, Robert M. Verdijk, Dion Paridaens, Caroline M. van Rij, Nicole C. Naus, Annelies de Klein, Elin S. Gray, Erwin Brosens, Emine Kiliç

PMC · DOI: 10.1167/iovs.67.1.55 · 2026-01-27

## TL;DR

This study explores the use of circulating tumor cells in uveal melanoma patients as a non-invasive way to monitor disease progression and treatment response.

## Contribution

The study introduces a multi-marker approach for detecting circulating tumor cells in uveal melanoma and shows its feasibility across disease stages.

## Key findings

- CTC detection rates were higher in metastatic patients compared to those with localized disease.
- CTC counts increased significantly during fractionated stereotactic radiotherapy.
- Baseline CTC counts were not associated with tumor size or molecular risk class.

## Abstract

Uveal melanoma (UM) is primarily treated with eye-sparing radiotherapy, leaving limited tumor tissue for molecular analysis. Circulating tumor cells (CTCs) may offer a minimally invasive alternative for genomic tumor profiling. This pilot study evaluated the feasibility of a multi-marker CTC capture approach in UM patients at diagnosis, during fractionated stereotactic radiotherapy (fSRT), and at metastatic progression.

Patients with localized or metastatic UM were prospectively enrolled. Peripheral blood samples were collected at baseline, during fSRT, and on detection of metastases. CTCs were captured and enumerated using a multi-marker approach and fluorescence microscopy.

A total of 76 patients were included: 68 with localized disease and eight with metastatic disease. Four patients presented initially with localized disease but developed metastasis during follow-up: for comparisons, only metastatic-stage samples were used, yielding 64 localized and 12 metastatic samples. CTCs were detected in 69.1% of patients with localized disease at baseline and in 83.3% of those with metastases. CTC counts were significantly higher in metastatic disease than in localized disease (median = 8 vs. 3; P = 0.010). Among patients undergoing fSRT, paired analysis showed a significant increase in CTC counts between day 3 and day 5 (median = 1 vs. 4; P = 0.007). No significant associations were observed between baseline CTC counts and tumor thickness, largest basal diameter, tumor volume, American Joint Committee on Cancer tumor stage, tumor location, or molecular risk class.

Multi-marker CTC detection in UM patients is feasible across disease stages. Increased CTC counts during fSRT may offer a window for molecular characterization. Larger studies with longitudinal blood sampling are needed to validate clinical and prognostic utility.

## Linked entities

- **Diseases:** uveal melanoma (MONDO:0006486), metastatic disease (MONDO:0024883)

## Full-text entities

- **Genes:** HLA-A (major histocompatibility complex, class I, A) [NCBI Gene 3105] {aka HLAA}, S100B (S100 calcium binding protein B) [NCBI Gene 6285] {aka NEF, S100, S100-B, S100beta}, CSPG4 (chondroitin sulfate proteoglycan 4) [NCBI Gene 1464] {aka CSPG4A, HMW-MAA, MCSP, MCSPG, MEL-CSPG, MSK16}, MLANA (melan-A) [NCBI Gene 2315] {aka MART-1, MART1}, FCGR3A (Fc gamma receptor IIIa) [NCBI Gene 2214] {aka CD16-II, CD16A, FCG3, FCGR3, FCRIIIA, FcGRIIIA}, MBD4 (methyl-CpG binding domain 4, DNA glycosylase) [NCBI Gene 8930] {aka MED1, TPDS2, UVM1}, PLCB4 (phospholipase C beta 4) [NCBI Gene 5332] {aka ARCND2, ARCND2A, ARCND2B, PI-PLC}, MCAM (melanoma cell adhesion molecule) [NCBI Gene 4162] {aka CD146, HEMCAM, METCAM, MUC18, MelCAM}, PTPRC (protein tyrosine phosphatase receptor type C) [NCBI Gene 5788] {aka B220, CD45, CD45R, GP180, IMD105, L-CA}, SRSF2 (serine and arginine rich splicing factor 2) [NCBI Gene 6427] {aka PR264, SC-35, SC35, SFRS2, SFRS2A, SRp30b}, BAP1 (BRCA1 associated deubiquitinase 1) [NCBI Gene 8314] {aka HUCEP-13, KURIS, TPDS1, UBM2, UCHL2, UVM2}, U2AF1 (U2 small nuclear RNA auxiliary factor 1) [NCBI Gene 7307] {aka FP793, RN, RNU2AF1, U2AF35, U2AFBP}, EIF1AX (eukaryotic translation initiation factor 1A X-linked) [NCBI Gene 1964] {aka EIF1A, EIF1AP1, EIF4C, eIF-1A, eIF-4C}, CYSLTR2 (cysteinyl leukotriene receptor 2) [NCBI Gene 57105] {aka CYSLT2, CYSLT2R, GPCR21, HG57, HPN321, KPG_011}, GNA11 (G protein subunit alpha 11) [NCBI Gene 2767] {aka FBH, FBH2, FHH2, GNA-11, HG1K, HHC2}, PMEL (premelanosome protein) [NCBI Gene 6490] {aka D12S53E, HMB-45, HMB45, ME20, ME20-M, ME20M}, SF3B1 (splicing factor 3b subunit 1) [NCBI Gene 23451] {aka Hsh155, MDS, PRP10, PRPF10, SAP155, SF3b155}, GNAQ (G protein subunit alpha q) [NCBI Gene 2776] {aka CMAL, G-ALPHA-q, GAQ, SWS}
- **Diseases:** intraocular tumor (MESH:D064090), breast and prostate cancer (MESH:D001943), UM (MESH:C536494), necrosis (MESH:D009336), disease (MESH:D004194), death (MESH:D003643), metastases (MESH:D009362), Cancer (MESH:D009369), Ocular Melanoma (MESH:D008545), American Joint (MESH:D006478)
- **Chemicals:** PBS (MESH:D007854), paraffin (MESH:D010232), Cy5 (MESH:C085321), FITC (MESH:D016650), ATP (MESH:D000255), EDTA (MESH:D004492), Hoechst 33342 (MESH:C017807), AF647 (MESH:C569686), biotin (MESH:D001710), Alexa Fluor (AF) 647 (-), methanol (MESH:D000432), formalin (MESH:D005557)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12859728/full.md

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Source: https://tomesphere.com/paper/PMC12859728